Videos

RNA velocity generalized to transient cell states through dynamical modeling

Bagged posteriors for robust inference/Bayesian robustness

Amplification artifacts in scRNA-seq; Stephen Fleming, Background removal

Feature analysis in 3D shapes/Topological data analysis

It's time to talk about irregularly-sampled time series

Loss Valleys, Uncertainty, and Generalization in Deep Learning/How do we build neural networks we can trust?

Computational challenges in optical electrophysiology

Manifold discovery of neural circuits/Cognitive maps of the brain

The geometry of linear regression, privacy-preserving linear algebra, and multi-party GWAS/Key ideas in linear algebra

What Genetics And Biology Are Teaching Us About Mental Illness

Predicting to explaining bio/Unsupervised domain adaptation

Stanley Center Primer: Ralda Nehme, Matt Tegtmeyer